A New Hybrid Approach for C&C Channel Detection

• Published in: 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) pp. 583 - 590
• Main Authors: Jiang, Jianguo, Yin, Qilei, Shi, Zhixin, Wang, Qiwen, Zhou, Wei
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2019
• Subjects: Anomaly detection; Botnet; Botnet Detection; C&C Channel; Correlation; Detectors; Feature extraction; Monitoring; Network Security; Traffic Analysis; Training

A great many of botnet detection researches focus on recognizing and blocking its significant C&C channel. And they typically require a certain number of C&C training instances to build a behavior detection model. However, when lacking the C&C training instances for new or even unknown b...